Articles about 'Department of Computer Science and Technology'

A fleet of driverless cars working together to keep traffic moving smoothly can improve overall traffic flow by at least 35 percent, researchers have shown.

Five researchers at the University of Cambridge have won advanced grants from the European Research Council (ERC), Europe’s premier research funding body. 

Improvements in public health, education and medicine mean that our lives are much longer than at any point in human history. Thanks to studies of volunteers from the eastern region, we may be able to spend these extra years living independently and in good health.

Many modern laptops and an increasing number of desktop computers are much more vulnerable to hacking through common plug-in devices than previously thought, according to new research.

In a new film, leading Cambridge University researchers discuss the far-reaching advances offered by artificial intelligence – and consider the consequences of developing systems that think far beyond human abilities.

In the popular imagination, robots have been portrayed alternatively as friendly companions or existential threat. But while robots are becoming commonplace in many industries, they are neither C-3PO nor the Terminator. Cambridge researchers are studying the interaction between robots and humans – and teaching them how to do the very difficult things that we find easy. Click here to find out more.

Researchers have used a combination of location and transport data to predict the likelihood that a given retail business will succeed or fail. 

The University of Cambridge will establish a DeepMind Chair of Machine Learning, thanks to a benefaction from the world-leading British AI company.  

The long-sought dream of wearable and mobile devices that will interpret, replicate and influence people’s emotions and perceptions will soon be a reality thanks to a collaboration between the University and Nokia Bell Labs.

Researchers have developed an online questionnaire which measures a range of personality traits to identify individuals who are more likely to fall victim to internet scams and other forms of cybercrime.